2025 - Sustainable Industrial Processing Summit
SIPS2025 Volume 5. Meyers Intl. Symp. / Composite
| Editors: | F. Kongoli, P. Assis, H.A.C. Lopera, S. Diaz, S.N. Monteiro, V.S. Candido |
| Publisher: | Flogen Star OUTREACH |
| Publication Year: | 2025 |
| Pages: | 316 pages |
| ISBN: | 978-1-998384-46-4 (CD) |
| ISSN: | 2291-1227 (Metals and Materials Processing in a Clean Environment Series) |
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INFLUENCE OF FFF PROCESS PARAMETERS ON THE MECHANICAL AND THERMAL PERFORMANCE OF CARBON FIBER-REINFORCED POLYAMIDE COMPOSITES
Sarah de Melo1; Lucas Neuba1; Belayne Zanini Marchi1; Sergio Monteiro1; Lucio Fabio Cassiano Nascimento1;1MILITARY INSTITUTE OF ENGINEERING, Rio de Janeiro, Brazil;
Type of Paper: Regular
Id Paper: 58
Topic: 18
Abstract:
The growing global demand for product customization, coupled with the long lead times associated with traditional manufacturing processes, has driven the industry to adopt faster and more flexible production methods. In this context, additive manufacturing (AM) — particularly material extrusion-based 3D printing (FFF) — stands out as a technological advancement by enabling the fabrication of customized geometries and multi-material parts with minimal waste. Among the polymers used in AM, polyamides are widely recognized for their mechanical strength, thermal stability, rigidity, and wear resistance. When reinforced with carbon fibers, these properties are significantly enhanced, making nylon-based composites highly suitable for high-performance applications, including in the defense sector. However, the mechanical performance of parts produced via FFF depends directly on process parameters such as extrusion temperature, print speed, and layer thickness, which influence material flow and interlayer adhesion. This study investigates the effects of extrusion speed, nozzle temperature, and infill orientation on the mechanical and thermal behavior of a carbon fiber-reinforced polyamide processed on the Bambulab X1E printer. Tensile and Differential Scanning Calorimetry (DSC) tests were conducted to evaluate the influence of these parameters, and an Analysis of Variance (ANOVA) was applied to validate the statistical significance of the results and support the selection of optimal printing conditions.